prilyasinta_2026_multilingualism

1,155 responses from 385 respondents to 3 items.

One of 6 tables from the same source; this one measures Balinese language motivation, multilingualism goals. The others are listed under Related tables.

About this table

DescriptionBalinese language motivation: multilingualism goals, 3 items; 3 items, 1-6; 385 Balinese respondents (pilot n=126, main n=259; Indonesian-language survey); covariates: cov_study and background answers (residence, tourist area, home language, Balinese comprehension/speaking, sex, religion, ethnicity; age band, education, profession for the main sample).
ReferencePrilyasinta, N. W., & Purnawan, I. K. (2026). Beyond pride: a tripartite motivation framework for language planning in the Balinese context. Current Issues in Language Planning. https://doi.org/10.1080/14664208.2026.2646706
DOI10.1080/14664208.2026.2646706
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/18365911

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses1,155
Respondents385
Items3
Response categories6
Responses per respondent3
Responses per item385
Density1
LongitudinalFALSE

Classification

construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ind
construct nameBalinese language motivation, multilingualism goals

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentBalinese language motivation questionnaire (Prilyasinta & Purnawan 2026; tripartite motivation framework)
Mean words per item10
Mean characters per item64.333
Mean characters per response2
Flesch-Kincaid grade level10.730

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_age_bandCovariate not traced
cov_educationCovariate not traced
cov_ethnicityCovariate not traced
cov_home_languageCovariate not traced
cov_professionCovariate not traced
cov_religionCovariate not traced
cov_residenceCovariate not traced
cov_sexCovariate not traced
cov_speaks_balineseCovariate not traced
cov_studyCovariate not traced
cov_tourist_areaCovariate not traced
cov_understands_balineseCovariate not traced

What item codes and covariate values stand for is in the source’s codebook, content.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("prilyasinta_2026_multilingualism")
# Python
pip install irw

import irw
df = irw.fetch("prilyasinta_2026_multilingualism")

How to cite

@article{Prilyasinta_2026, title={Beyond pride: a tripartite motivation framework for language planning in the Balinese context}, ISSN={1747-7506}, url={http://dx.doi.org/10.1080/14664208.2026.2646706}, DOI={10.1080/14664208.2026.2646706}, journal={Current Issues in Language Planning}, publisher={Informa UK Limited}, author={Prilyasinta, Ni Wayan and Purnawan, I Kadek}, year={2026}, month=Mar, pages={1–22} }

Version and provenance

IRW versionv607
Redivis datasetitem_response_warehouse_5 v10.0
Redivis dataset DOI10.57761/45xf-md22
Manifest pin for this IRW versionv9.0
Metadata sourceirw_meta v47.0